Top Tech Jobs & Startup Jobs

Lead AI engineering for Market Risk: build reporting, web UIs, database and batch calculation systems; design, train, deploy, and monitor ML/AI models and end-to-end pipelines; integrate LLMs and agents in cloud/distributed environments; partner with risk and quant teams to translate requirements; optimize agent performance and mentor engineers.

Build and operate highly available, scalable, fault-tolerant production systems and observability platforms. Monitor system health, manage incidents, conduct blameless postmortems, improve testing and release procedures, support system design and capacity planning, and automate reliability improvements. Collaborate with engineering teams to establish service-level objectives and promote resilience engineering practices.

Lead the design and development of production-grade agentic AI systems that automate complex business and cybersecurity workflows. Build scalable capabilities for orchestration, memory, tool integration, observability, governance, evaluation, and human oversight. Define secure and auditable architecture, integrate enterprise platforms and data sources, establish testing and monitoring practices, partner with stakeholders, and mentor engineers while driving technical strategy for enterprise AI adoption.

Designs and delivers foundational financial planning training for advisor teams, covering net worth reporting, cash flow analysis, investments, tax-aware planning, estate planning, and employee benefits. Creates practical curricula, case studies, and reference materials; collaborates with Product, Family Office, subject matter experts, and other stakeholders; and continuously improves training content to support advisor readiness, accuracy, consistency, and client service quality.

Build and manage relationships with high-net-worth individuals, families, family offices, and foundations. Source new business, support existing clients, develop customized investment strategies, create asset allocation recommendations, and provide holistic wealth advisory services. The role requires strong relationship management, business development, investment product knowledge, financial markets interest, Dutch and English fluency, and collaborative entrepreneurial skills.

Leads employee relations for Goldman Sachs, handling investigations, disciplinary actions, performance management, terminations, restructurings, severance, policy interpretation, training, and legal counsel coordination. Advises managers and employees on sensitive workplace issues, resolves conflicts, mitigates risk, and supports firm culture through empathetic, strategic, and commercially pragmatic solutions.

Develop and maintain analytical tools and software infrastructure for equity custom basket pricing, quoting, hedging, and risk management. Automate trading and sales processes, scale automated risk controls across Equity and FX exposures, and collaborate with traders, salespeople, quants, operations, and engineering teams to deliver accurate, robust solutions.

Design and build scalable Java/Spring microservices and production ETL pipelines (Spring Batch). Develop secure REST APIs, implement messaging/streaming (Kafka/RabbitMQ), optimize databases and queries, and maintain CI/CD and containerized deployments.

Lead backend engineering initiatives for Credit Technology: design and build trade capture/booking systems, data pipelines and ETL, re-engineer trade booking and ingestion platforms, collaborate with global engineering teams, and deliver scalable, low-latency solutions to support trading and sales workflows.

Serve as appointed DPO for Goldman Sachs EU entities in Frankfurt: liaise with German/EU supervisory authorities, advise business and engineering on privacy risk, conduct DPIAs, manage cross-border transfers, align privacy with financial regulations, develop privacy governance and training, and support policy and program implementation.